Design and Implementation of an Intelligent Energy Management System for Smart Buildings using Internet of Things (IoT) Technology

Thesis Abstract

Abstract
The growing demand for energy conservation and efficient management in smart buildings has led to the development of innovative technologies such as the Internet of Things (IoT). This thesis presents a comprehensive study on the design and implementation of an Intelligent Energy Management System (IEMS) for smart buildings utilizing IoT technology. The research focuses on addressing the challenges of energy consumption, monitoring, and control in modern buildings by leveraging IoT devices and data analytics. Chapter One provides an overview of the research, starting with the Introduction (1.1) that highlights the significance of energy management in smart buildings. The Background of the Study (1.2) discusses the evolution of smart building technologies and the role of IoT in energy management. The Problem Statement (1.3) identifies the issues faced in traditional energy management systems, leading to the need for an intelligent solution. The Objectives of the Study (1.4) outline the goals and aims of the research, while the Limitations of the Study (1.5) and Scope of the Study (1.6) define the boundaries and constraints of the research. The Significance of the Study (1.7) emphasizes the potential impact and benefits of implementing an IEMS in smart buildings. The Structure of the Thesis (1.8) provides an overview of the chapters, and the Definition of Terms (1.9) clarifies key concepts used throughout the thesis. Chapter Two presents a comprehensive Literature Review, encompassing ten key areas related to energy management, IoT technology, smart buildings, data analytics, and existing systems. This review provides a theoretical foundation for the research and highlights the current state of the art in the field. Chapter Three details the Research Methodology, covering various aspects such as Research Design, Data Collection Methods, System Architecture, IoT Device Selection, Data Analysis Techniques, Security Measures, and Evaluation Criteria. The methodology outlines the steps taken to design and implement the IEMS for smart buildings. Chapter Four delves into an in-depth Discussion of Findings, presenting the results, analysis, and insights gained from the implementation of the IEMS. This chapter explores the performance of the system, the effectiveness of energy management strategies, and the potential for scalability and future enhancements. Chapter Five concludes the thesis with a Summary of the key findings, a discussion of the contributions and implications of the research, and recommendations for future work. The conclusion reflects on the achievements of the study and suggests avenues for further research in the field of intelligent energy management systems for smart buildings using IoT technology. In summary, this thesis contributes to the advancement of energy-efficient technologies in smart buildings by proposing an innovative Intelligent Energy Management System based on IoT technology. The research findings provide valuable insights for practitioners, researchers, and policymakers seeking to optimize energy usage and enhance sustainability in modern building environments.